Information Technology and Quantitative Methods

Courses

Information Technology (IT)

• •  IT 201A - Structured COBOL Programming
• •  IT 203 - Information Systems for Managers
• •  IT 204 - Simulation in Business
• •  IT 206 - Systems Analysis and Design
• •  IT 207 - Interactive Information Systems
• •  IT 208 - Accounting Information Systems
• •  IT 209 - Decision Support Systems
• •  IT 211 - Object-Oriented Programming in Visual Basic
• •  IT 212 - International Information Technology
• •  IT 215 - Database Management Systems
• •  IT 216 - Advanced Database Management Systems
• •  IT 220 - Business Data Communications
• •  IT 225 - Knowledge-Based Decision Support Systems
• •  IT 228 - Information Technology and Crisis Management
• •  IT 230 - Power Tools for Managers
• •  IT 236 - Electronic Commerce for Managers
• •  IT 240 - Information Technology Resource Management
• •  IT 251 - Advanced Readings and Projects
• •  IT 252 - Advanced Readings and Projects
• •  IT 253 - IT Project Management
• •  IT 257 A-Z - Seminar: Special Topics in Information Technology
• •  IT 304 - Advanced Research Seminar in Information Technology
• •  IT 305 - M.B.A. Honors Research Thesis in Information Technology
• •  IT 309 - Research Seminar in Information Technology
• •  IT 330 - Graduate Internship
• •  IT 401 - Information Systems for Management

Quantitative Methods (QM)

• •  QM 203 - Advanced Quantitative Analysis for Managers
• •  QM 215 - Business Forecasting
• •  QM 217 - Decision Analysis
• •  QM 220 - Operations Research and Decision Making Under Uncertainty
• •  QM 230 - Mathematical Programming
• •  QM 250 - Multivariate Data Analysis Methods
• •  QM 255 - Quality Management and Statistical Quality Control
• •  QM 275 - Time Series Analysis of Financial Data
• •  QM 285 - Business Process Management
• •  QM 286 - Statistical Quality Control
• •  QM 287 - Six Sigma Quality Management
• •  QM 290 - Seminar in Contemporary Issues in Quality Management
• •  QM 291 - Practicum in Quality Management
• •  QM 401 - Quantitative Analysis for Managers